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Digests » 127
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“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on.
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
Why accuracy shouldn’t be the only performance metric you care about while evaluating a Machine Learning model.
The quest to achieve universal representation of monolingual text is our X-code. As early as 2013, we sought to maximize the information-theoretic mutual information between text-based Bing search queries and related documents through semantic embedding using what we called X-code.
In this post, which marks the first installation of our “deconstructing artificial intelligence” series, we will take a look at how some of these features work and how they tie-in with AI research done at Nvidia. We’ll also explore the pending issues and the possible business model for Nvidia’s AI-powered video-conferencing platform.